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{{context, date=May 2013 An image analogy is a method of creating an image filter automatically from training data. In an image analogy process, the transformation between two images A and A' is "learned". Later, given a different image B, its "analogy" image B' can be generated based on the learned transformation. The image analogy method has been used to simulate many types of image filters: * Toy filters, such as blurring or "embossing." *
Texture synthesis Texture synthesis is the process of algorithmically constructing a large digital image from a small digital sample image by taking advantage of its structural content. It is an object of research in computer graphics and is used in many fields, amo ...
from an example texture. * Super-resolution, inferring a high-resolution image from a low-resolution source. * Texture transfer, in which images are "texturized" with some arbitrary source texture. * Artistic filters, in which various drawing and painting styles, including oil, pastel, and pen-and-ink rendering, are synthesized based on scanned real-world examples. * Texture-by-numbers, in which realistic scenes, composed of a variety of textures, are created using a simple "painting" interface. * Image colorization, where color is automatically added to
grayscale In digital photography, computer-generated imagery, and colorimetry, a grayscale image is one in which the value of each pixel is a single sample representing only an ''amount'' of light; that is, it carries only intensity information. Graysca ...
images.


External links


Image Analogies at the New York University Media Research Lab
Image processing